Latest Articles for Deep Learning

Discover a method to help models adapt to new data without extensive retraining.

Exploring how hyperbolic networks can resist adversarial attacks.

Learn how MLVGMs help protect computer vision systems from adversarial attacks.

A new method improves CT scans by combining deep learning with image reconstruction.

CNA method enhances GNNs by tackling oversmoothing and improving performance.

Evaluating hidden outputs to protect sensitive data in AI systems.

A new approach combines quantum computing and deep learning to enhance particle simulations.

A new method enhances PET image quality and reduces complexity for doctors.

Denoising models face challenges from adversarial noise but new strategies offer hope.

FeatureForest simplifies image analysis in microscopy using advanced methods.

Autoencoders simplify data understanding and generation in deep learning.

New algorithms improve deep learning model compression without sacrificing performance.

Discover how Elastic-DETR adapts image resolution for better object detection.

Discover how TTVD enhances deep learning performance using geometry.

New deep learning techniques improve tumor segmentation in head and neck cancer treatments.

Examining feature inversion in deep learning and its implications for privacy.

Researchers use deep learning and images to improve malware detection.

Learn how new methods improve data generation in the world of Deep Learning.

Maximize GPU efficiency while reducing energy costs in deep learning environments.

Learn how TCS improves AI model training efficiency and adaptability.

Discover how STEAM is reshaping deep learning with efficient attention mechanisms.

A new method to create efficient synthetic datasets for deep learning models.

New dataset enables better comparisons of CT reconstruction algorithms.

Discover how adversarial examples challenge cybersecurity and the defenses against them.

Learn how MIAdam enhances model performance and generalization in deep learning.

A tool for spotting design smells in Python and C/C++ deep learning code.

Discover how segmented deep hashing transforms code retrieval for developers.

Combining CNNs and attention methods for better image classification performance.

This report addresses the impact of noisy labels on machine learning models.

DQA offers a smart solution for efficient deep quantization in resource-limited devices.

TARDIS helps models identify unfamiliar data in satellite imagery for better accuracy.

Discover how the SCG method optimizes deep learning efficiently.

A new approach improves understanding of neural network similarities.

Learn how small models gain strength from their larger mentors.

Learn how to align 3D views for accurate visualizations.

A guide to understanding and addressing faults in deep learning models.

Research shows depthwise convolutional networks maintain general filters across tasks.

Innovative approach improves detection of seizure beginnings for better epilepsy management.

Gradient Agreement Filtering improves efficiency and accuracy in model training.

A new method that speeds up deep learning training without major changes.